Alessandro Artusi
Dr. Artusi main research activities are in the areas of Image processing, Computer Graphics and Color Science. He has a long standing activities in High Dynamic Range technology, image/video encoding and its standardization, Image content retargeting, energy saving algorithmic solution and image/video subjective and objective evaluation. He has recently initiated deep-learning investigation activities to be applied to typical image processing and computer vision problems.
He holds a Ph.D. degree from the Vienna University of Technology, in Computer Graphics, and a MSc. degree in Computer Science from the University of Milano (Italy).
He is a member of the IST/037 coding of picture, audio, multimedia and hypermedia information, of the British Standard Institute (BSI), and is acting as UK representative in the ISO/IEC/SC29/WG1/JPEG and ISO/IEC/SC29/WG11/MPEG standardization committee's.
He is one of the editors of the ISO/IEC/18477-JPEG-XT standard, and he has acted as co-chair of the JPEG-XT AhG, and chair of the AhG on verification of the JPEG-XT Part7. For these activities he has been recognized with the prestigious BSI Emerging Standards Maker Award.
He recently has received an Associate Professor habilitation from the Agéncia per a la Qualitat del Sistema Universitari de Catalunya (Spain) (AQU) and the Certified Programme I3 (Spanish System).
He regularly acts as IPC member and reviewer for major international conferences and journals, and he is the Associate editor of three peer-review international journals.
His research activities have attracted more then 1 million of euros, in national and international competitive research funding calls, and he has participated in research projects for a total budget of more then 6.5 millions of euros.
He is the co-author of the CRC Press reference book on High Dynamic Range Technology ‘Advanced High Dynamic Range Technology: Theory and Practice’ 1st and 2nd edition and the author of CRC Press book ‘Image Content Retargeting: Maintaining Tone, Color and Spatial Consistency’
For more info you can go through the following links:
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Academia
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The CRC and Amazon profile pages
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Address: CYENS CoE
Dimarchiou square
1011 Nicosia
Cyprus
He holds a Ph.D. degree from the Vienna University of Technology, in Computer Graphics, and a MSc. degree in Computer Science from the University of Milano (Italy).
He is a member of the IST/037 coding of picture, audio, multimedia and hypermedia information, of the British Standard Institute (BSI), and is acting as UK representative in the ISO/IEC/SC29/WG1/JPEG and ISO/IEC/SC29/WG11/MPEG standardization committee's.
He is one of the editors of the ISO/IEC/18477-JPEG-XT standard, and he has acted as co-chair of the JPEG-XT AhG, and chair of the AhG on verification of the JPEG-XT Part7. For these activities he has been recognized with the prestigious BSI Emerging Standards Maker Award.
He recently has received an Associate Professor habilitation from the Agéncia per a la Qualitat del Sistema Universitari de Catalunya (Spain) (AQU) and the Certified Programme I3 (Spanish System).
He regularly acts as IPC member and reviewer for major international conferences and journals, and he is the Associate editor of three peer-review international journals.
His research activities have attracted more then 1 million of euros, in national and international competitive research funding calls, and he has participated in research projects for a total budget of more then 6.5 millions of euros.
He is the co-author of the CRC Press reference book on High Dynamic Range Technology ‘Advanced High Dynamic Range Technology: Theory and Practice’ 1st and 2nd edition and the author of CRC Press book ‘Image Content Retargeting: Maintaining Tone, Color and Spatial Consistency’
For more info you can go through the following links:
HomePage: https://www.artusi.org/
https://es.linkedin.com/in/artusialessandro
Researchgate
https://www.researchgate.net/profile/Alessandro_Artusi
Academia
https://girona.academia.edu/AlessandroArtusi
The CRC and Amazon profile pages
https://www.crcpress.com/authors/i14956-alessandro-artusi
https://www.amazon.com/Alessandro-Artusi/e/B01LSZ7MYC
Address: CYENS CoE
Dimarchiou square
1011 Nicosia
Cyprus
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Here you can have access to the paper through this sharable link: https://rdcu.be/bxLgl
A pre-rpint version of this publication can be downloaded from here:
http://vcg.isti.cnr.it/Publications/2016/BASLBCB16/main_personal.pdf
Official publication:
http://www.sciencedirect.com/science/article/pii/S0923596516301308
DOI: http://dx.doi.org/10.1016/j.image.2016.09.004
"JPEG" is not only the name of a still image format. It is also the name of a joined standardization committee under auspices of the International Organization for Standards (ISO) and the International Telecommunication Union (ITU-T), formally known as ISO/IEC JTC1/SC 29 WG 1. In fact, JPEG stands for Joint Photographic Experts Group and collects, assesses and validates technologies and recommends imaging international standards. As such, during more than two decades in existence, the JPEG committee has developed many more standards than just the widely used legacy JPEG format (ISO/IEC 10918-1 or Recommendation ITU-T81). Among these standards one can mention JBIG and JBIG2 - two bi-level compression formats used in transmission and storage of black-and-white prints the average photo-copier speaks - and JPEG 2000, the format that cinemas use nowadays to digitally store and transmit movies shown in theaters.
Even though better in performance and offering many more features, JPEG 2000 has not been adopted in consumer digital camera market and did not replace the widely used legacy JPEG format. It is often claimed that JPEG 2000 has a complexity issue, though when compared to today's video coding standards, e.g. HEVC (also known as ITU-T Recommendation H.265), it is rather lightweight!
The problem actually lies elsewhere, namely in interoperability. JPEG 2000, or even another more recent and less complex JPEG format known as JPEG XR, are not backward compatible with the widely used JPEG format. Concretely speaking, the JPEG decoders in your PC, your TV or your electronic picture frame won’t be able to decode such more recent formats. Even though the performance of JPEG 2000 or JPEG XR is superior, it does not seem convincing enough for investment in new equipment, both in hardware (camera, picture frame, TV, etc.) and software (image viewers, image editing apps, etc.).
Surprisingly, words such as "lossy" and "low precision" typically attributed to JPEG are not even fully correct as the legacy JPEG format also includes modes for lossless encoding and higher precision encoding. Unfortunately, even though part of the same standard, these modes are not compatible with the widely known lossy 8-bit mode of legacy JPEG format that became so overwhelmingly popular.
To address the above needs, the JPEG committee has recently produced a new standard, JPEG XT, or formally, ISO/IEC 18477. It is both backward-compatible to the legacy JPEG, and offers the ability to encode images of higher precision, higher dynamic range, in lossy or lossless modes. Any legacy JPEG decoder will be able to decode a JPEG XT file, and in that sense, JPEG XT is even more compatible than JPEG ever was, as it leaves all the less popular modes out. Clearly, if your decoder only understands JPEG and not JPEG XT, it will only get an 8-bit lossy image as it would expect. Lossless decoding, or full sample precision, would still require a full JPEG XT decoder.
JPEG XT does not stop there. JPEG XT offers several other features that go beyond those in legacy JPEG. Some of them are under standardization, such as the inclusion of opacity information (alpha channels), while others are in the pipeline of the JPEG committee. These features include privacy and security protection of image content or image regions, animated JPEG, and efficient coding of omnidirectional (also known as 360-degrees) images.
In this article, we shed some light on the recent developments of the JPEG committee by starting with some basics on the current JPEG standard and then proceed to JPEG XT, its current status and its future plans.
A pre-print version of the paper can be downloaded from here:
https://jpeg.org/downloads/jpegxt/IEEE_MM-preprint-AA-TE.pdf
The published version is available at:
http://ieeexplore.ieee.org/document/7535096/
management into consideration, limiting compression to luminance values only. This may lead to changes in image chroma and hues which are typically managed with a post-processing step. However, current post-processing techniques for tone reproduction do not explicitly consider the target display gamut.
Gamut mapping on the other hand, deals with mapping images from one color gamut to another, usually smaller, gamut but has traditionally focused on smaller scale, chromatic changes. In this context, we present a novel gamut and tone management framework for color-accurate reproduction of high dynamic
range (HDR) images, which is conceptually and computationally simple, parameter-free, and compatible with existing TMOs. In the CIE LCh color space, we compress chroma to fit the gamut of the output color space. This prevents hue and luminance shifts while taking gamut boundaries into consideration. We also propose a compatible lightness compression scheme that minimizes the number of color space conversions. Our results show that our gamut management method effectively compresses the chroma of tone mapped images, respecting the target gamut and without reducing image quality.
The pre-printed version is available here:
https://www.artusi.org/Publications/PDF-VIDEO/IEEECG&A/2015/main.pdf
The published version can be found here:
http://ieeexplore.ieee.org/document/7325187/
Here you can have access to the paper through this sharable link: https://rdcu.be/bxLgl
A pre-rpint version of this publication can be downloaded from here:
http://vcg.isti.cnr.it/Publications/2016/BASLBCB16/main_personal.pdf
Official publication:
http://www.sciencedirect.com/science/article/pii/S0923596516301308
DOI: http://dx.doi.org/10.1016/j.image.2016.09.004
"JPEG" is not only the name of a still image format. It is also the name of a joined standardization committee under auspices of the International Organization for Standards (ISO) and the International Telecommunication Union (ITU-T), formally known as ISO/IEC JTC1/SC 29 WG 1. In fact, JPEG stands for Joint Photographic Experts Group and collects, assesses and validates technologies and recommends imaging international standards. As such, during more than two decades in existence, the JPEG committee has developed many more standards than just the widely used legacy JPEG format (ISO/IEC 10918-1 or Recommendation ITU-T81). Among these standards one can mention JBIG and JBIG2 - two bi-level compression formats used in transmission and storage of black-and-white prints the average photo-copier speaks - and JPEG 2000, the format that cinemas use nowadays to digitally store and transmit movies shown in theaters.
Even though better in performance and offering many more features, JPEG 2000 has not been adopted in consumer digital camera market and did not replace the widely used legacy JPEG format. It is often claimed that JPEG 2000 has a complexity issue, though when compared to today's video coding standards, e.g. HEVC (also known as ITU-T Recommendation H.265), it is rather lightweight!
The problem actually lies elsewhere, namely in interoperability. JPEG 2000, or even another more recent and less complex JPEG format known as JPEG XR, are not backward compatible with the widely used JPEG format. Concretely speaking, the JPEG decoders in your PC, your TV or your electronic picture frame won’t be able to decode such more recent formats. Even though the performance of JPEG 2000 or JPEG XR is superior, it does not seem convincing enough for investment in new equipment, both in hardware (camera, picture frame, TV, etc.) and software (image viewers, image editing apps, etc.).
Surprisingly, words such as "lossy" and "low precision" typically attributed to JPEG are not even fully correct as the legacy JPEG format also includes modes for lossless encoding and higher precision encoding. Unfortunately, even though part of the same standard, these modes are not compatible with the widely known lossy 8-bit mode of legacy JPEG format that became so overwhelmingly popular.
To address the above needs, the JPEG committee has recently produced a new standard, JPEG XT, or formally, ISO/IEC 18477. It is both backward-compatible to the legacy JPEG, and offers the ability to encode images of higher precision, higher dynamic range, in lossy or lossless modes. Any legacy JPEG decoder will be able to decode a JPEG XT file, and in that sense, JPEG XT is even more compatible than JPEG ever was, as it leaves all the less popular modes out. Clearly, if your decoder only understands JPEG and not JPEG XT, it will only get an 8-bit lossy image as it would expect. Lossless decoding, or full sample precision, would still require a full JPEG XT decoder.
JPEG XT does not stop there. JPEG XT offers several other features that go beyond those in legacy JPEG. Some of them are under standardization, such as the inclusion of opacity information (alpha channels), while others are in the pipeline of the JPEG committee. These features include privacy and security protection of image content or image regions, animated JPEG, and efficient coding of omnidirectional (also known as 360-degrees) images.
In this article, we shed some light on the recent developments of the JPEG committee by starting with some basics on the current JPEG standard and then proceed to JPEG XT, its current status and its future plans.
A pre-print version of the paper can be downloaded from here:
https://jpeg.org/downloads/jpegxt/IEEE_MM-preprint-AA-TE.pdf
The published version is available at:
http://ieeexplore.ieee.org/document/7535096/
management into consideration, limiting compression to luminance values only. This may lead to changes in image chroma and hues which are typically managed with a post-processing step. However, current post-processing techniques for tone reproduction do not explicitly consider the target display gamut.
Gamut mapping on the other hand, deals with mapping images from one color gamut to another, usually smaller, gamut but has traditionally focused on smaller scale, chromatic changes. In this context, we present a novel gamut and tone management framework for color-accurate reproduction of high dynamic
range (HDR) images, which is conceptually and computationally simple, parameter-free, and compatible with existing TMOs. In the CIE LCh color space, we compress chroma to fit the gamut of the output color space. This prevents hue and luminance shifts while taking gamut boundaries into consideration. We also propose a compatible lightness compression scheme that minimizes the number of color space conversions. Our results show that our gamut management method effectively compresses the chroma of tone mapped images, respecting the target gamut and without reducing image quality.
The pre-printed version is available here:
https://www.artusi.org/Publications/PDF-VIDEO/IEEECG&A/2015/main.pdf
The published version can be found here:
http://ieeexplore.ieee.org/document/7325187/
to achieve maximum performance. Energy eciency was usually neglected, assuming that a stable always-on
power source was available. However, the advent of the mobile era has brought into question these ideas and
designs in computer graphics since mobile devices are both limited by their computational capabilities and their
energy sources. Aligned to this emerging need in computer graphics for energy eciency analysis we have setup
a software framework to obtain power measurements from 3D scenes using o -the-shelf hardware that allows for
sampling the energy consumption over the power rails of the CPU and GPU. Our experiments include geometric
complexity, texture resolution and common CPU and GPU workloads. The goal of this work is to combine the
knowledge obtained from these measurements into a prototype energy-aware balancer of processing resources.
The balancer dynamically selects the rendering parameters and uses a simple framerate-based dynamic frequency
scaling strategy. Our experimental results demonstrate that our power saving framework can achieve savings of
approximately 40%.
Conference: Proc. SPIE 9411, Mobile Devices and Multimedia: Enabling Technologies, Algorithms, and Applications 2015, 94110D (March 11, 2015), At San Francisco. Copyright 2015 Society of Photo Optical Instrumentation Engineers. One print or electronic copy may be made for personal use only. Systematic reproduction and distribution, duplication of any material in this paper for a fee or for commercial purposes, or modification of the content of the paper are prohibited. Original publication doi http://proceedings.spiedigitallibrary.org/proceeding.aspx?articleid=2203927
high dynamic range (HDR) values. Therefore, these images
need to be tone mapped in order to be displayed on low dy-
namic range (LDR) displays. A typical approach is to blindly
apply tone mapping operators without taking advantage of the
extra information that comes for free from the modeling pro-
cess for creating a 3D scene. In this paper, we propose a novel
pipeline for tone mapping high dynamic range (HDR) images
which are generated using physically based renderers. Our
work exploits information of a 3D scene, such as geometry,
materials, luminaries, etc. This allows to limit the assump-
tions that are typically made during the tone mapping step.
As consequence of this, we will show improvements in term
of quality while keeping the entire process straightforward.